\(D_{norm}\)  is averaged over all 68 key points computed by the Dlib facial landmark predictor [1]}, [2]}. The original face's points \(O\)  and the deepfake points \(DF\)  are scaled between 0 and 1 within the bounds of the \(Face\)  region.
